Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dolores County, CO

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dolores County, CO
Series ID MHICILBCO08033A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 3:13 AM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 19036
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20518
1994-01-01 .
1995-01-01 21649
1996-01-01 .
1997-01-01 22573
1998-01-01 25706
1999-01-01 29083
2000-01-01 29782
2001-01-01 29535
2002-01-01 28000
2003-01-01 29928
2004-01-01 30347
2005-01-01 33447
2006-01-01 32577
2007-01-01 33285
2008-01-01 39500
2009-01-01 38818
2010-01-01 36601
2011-01-01 35552
2012-01-01 35340
2013-01-01 38155
2014-01-01 39514
2015-01-01 40177
2016-01-01 41826
2017-01-01 39963
2018-01-01 42367
2019-01-01 44214
2020-01-01 42876
2021-01-01 48238
2022-01-01 49441
2023-01-01 50966

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